An evaluation of the replicability of analyses using synthetic health data
Khaled El Emam,
Lucy Mosquera,
Xi Fang
et al.
Abstract:Synthetic data generation is being increasingly used as a privacy preserving approach for sharing health data. In addition to protecting privacy, it is important to ensure that generated data has high utility. A common way to assess utility is the ability of synthetic data to replicate results from the real data. Replicability has been defined using two criteria: (a) replicate the results of the analyses on real data, and (b) ensure valid population inferences from the synthetic data. A simulation study using … Show more
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